Full Stack Engineer

Brazil | Aug. 13, 2026

Report as Closed

Company: Tessellate

Type: Hybrid remote

Employment: Full-time

Description: Tessellate | Full Stack Engineer | Hybrid | Nashville, TN | Full-time Tessellate is pre-seed and early — this is a real chance to help build a startup from the ground floor, led by second-time founders. There are genuinely hard, interesting data challenges under the hood that push us to lean into AI and machine learning as part of the product itself. We expect our engineers to be AI-native: using the most advanced AI and cloud tooling to ship quality software at pace. Startups aren't for everyone — but you'll learn a great deal, own outcomes that matter, and share in the upside if we win. We're hiring an associate to mid-level product engineer to build alongside our small team and ship features across the product — from a mobile-first frontend through the Python API and the data beneath it. This is a build-and-ship role: your week is spent turning product ideas into working, tested, shipped features that physicians use. You won't be alone at the edges. We have fractional senior support for our infrastructure and a dedicated data engineer for the claims layer, so you can lean on real depth where you need it and stay focused on moving the product forward. What we need from you is momentum on the product itself. $100K - $130K apply at https://jobs.gem.com/tessellate/am9icG9zdDrOWl6wmQoqG4beEY9k... Tessellate | Senior ML Data Engineer | Hybrid | Nashville, TN | Full-time Tessellate is pre-seed and early — this is a real chance to help build a startup from the ground floor, led by second-time founders. There are genuinely hard, interesting data challenges under the hood that push us to lean into AI and machine learning as part of the product itself. Physicians make some of the biggest decisions of their careers with almost no trustworthy information: job posts, recruiter calls, and vague promises about culture. Tessellate is building something better: a physician-first platform that helps doctors see where they'd actually fit, using real clinical data instead of recruiter intuition. At the center of the product is a matching engine that pairs physicians with organizations. Making it genuinely intelligent is your job. Our matching engine works today, but it's mostly rules and weights. Over the next year we want to make it genuinely smart; real semantic matching and vector search over physicians, organizations, and clinical profiles - with the rigor to actually measure whether it's getting better. That's the heart of this role. Two things make it hard. The matching is only as good as the identity underneath it: if one health system shows up as three fragmented records, you get three bad embeddings instead of one good one. And healthcare data is a mess, fragmented across sources that don't agree, so reasoning about fit from it is a genuinely deep problem. Apply at: https://jobs.gem.com/tessellate/am9icG9zdDousPEmemDgHrTzKprU...

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